Self-adaption geometrical relationship strength RFM (Rational Function Model) block adjustment method

Abstract

The invention relates to a self-adaption geometrical relationship strength RFM block adjustment method. The self-adaption geometrical relationship strength RFM block adjustment method comprises the following steps of: 1) reading rational function model parameters and normalized factors of satellite remote sensing images and image coordinates of connection points, control points and check points; 2) calculating all the intersection angles of every connection point according to the read rational function model parameters, the normalized factors and the coordinates of the connection points and taking the largest intersection angle of every connection point as a quantitative index of solid geometrical relationship strength; 3) dividing the connection points into first class connection points and second connection points according to the size of the largest intersection angle of every connection point; 4) determining initial values of object space geodetic coordinates of the connection points; 5) establishing error equations for performing block adjustment; 6) outputting RFM refined parameters and completing the block adjustment based on RFM. The self-adaption geometrical relationship strength RFM block adjustment method is particularly applicable to adjustment of remote sensing images of wide viewing angle and large range and block adjustment among block adjustment and with complex adjustment data and wide data sources.

Description

technical field [0001] The invention relates to the technical field of photography and imaging, and relates to a block adjustment method of a rational function model, in particular to a rational function model suitable for the strength and weakness of the geometric relationship of adaptive three-dimensional imaging suitable for spaceflight and deep space exploration satellite remote sensing images Block adjustment technology. Background technique [0002] With the continuous development of remote sensing satellites, various new orbiters and sensors are constantly emerging. The diversification of sensor imaging forms makes the form of rigorous imaging geometric models increasingly complex, and the difficulty of construction is also increasing, which increases the difficulty for users. The professional threshold for users is raised, thus limiting the use and development of satellite images. In addition, key technical parameters such as the satellite platform and payload requi...

AI Technical Summary

Problems solved by technology

This method can effectively solve the problems of unstable solution and poor precision caused by the weak geometric relationship between some satellite images in the block adjustment, and take into account the satellite remote sensing images with strong geometric relationship, so that the original image will not be damaged during the adjustment process. Geometric accuracy, good image consistency after processing

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